Jove
Visualize
联系我们
JoVE
x logofacebook logolinkedin logoyoutube logo
关于 JoVE
概览领导团队博客JoVE 帮助中心
作者
出版流程编辑委员会范围与政策同行评审常见问题投稿
图书馆员
用户评价订阅访问资源图书馆顾问委员会常见问题
研究
JoVE JournalMethods CollectionsJoVE Encyclopedia of Experiments存档
教育
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab Manual教师资源中心教师网站
使用条款与条件
隐私政策
政策

相关概念视频

Mechanistic Models: Compartment Models in Algorithms for Numerical Problem Solving01:29

Mechanistic Models: Compartment Models in Algorithms for Numerical Problem Solving

42
Mechanistic models play a crucial role in algorithms for numerical problem-solving, particularly in nonlinear mixed effects modeling (NMEM). These models aim to minimize specific objective functions by evaluating various parameter estimates, leading to the development of systematic algorithms. In some cases, linearization techniques approximate the model using linear equations.
In individual population analyses, different algorithms are employed, such as Cauchy's method, which uses a...
42

您也可能阅读

相关文章

通过共同作者、期刊和引用图与本文相关的文章。

排序
Same author

Mechanism Study on Liquiritin Alleviating Nociceptive Sensitization in Knee Osteoarthritis via Promoting M2 Macrophage Polarization Through Regulation of the Rap1/PI3K/Akt Signaling Pathway.

Phytotherapy research : PTR·2026
Same author

[Experimental study of the eyelid reconstruction in situ with the acellular xenogeneic dermal matrix].

Zhonghua zheng xing wai ke za zhi = Zhonghua zhengxing waike zazhi = Chinese journal of plastic surgery·2007
Same author

[Screening and characterization of marine bacteria with antibacterial and cytotoxic activities, and existence of PKS I and NRPS genes in bioactive strains].

Wei sheng wu xue bao = Acta microbiologica Sinica·2007
Same author

[Collateral supply in patients with severe carotid stenosis].

Zhonghua yi xue za zhi·2007
Same author

[Changes of sleep architecture in patients with narcolepsy].

Zhonghua yi xue za zhi·2007
Same author

[Combined anterior and posterior approach for cervical fracture-dislocation with ankylosing spondylitis].

Zhonghua wai ke za zhi [Chinese journal of surgery]·2007

相关实验视频

Updated: Jun 9, 2025

Author Spotlight: Addressing Technical and Subjective Challenges in Measuring Classroom Attention
06:37

Author Spotlight: Addressing Technical and Subjective Challenges in Measuring Classroom Attention

Published on: December 15, 2023

2.6K

[每日NO2基于自动机器学习组合模型的模拟研究]

Kai-Kai Lu1, Jing Li1, De-Ren Liu2

  • 1College of Geography and Environmental Science, Northwest Normal University, Lanzhou 730070, China.

Huan jing ke xue= Huanjing kexue
|October 25, 2024
PubMed
概括
此摘要是机器生成的。

这项研究利用卫星数据和机器学习绘制了长江三角洲二氧化 (NO2) 污染的地图. 二氧化污染显示出U形空间模式,冬季是最严重的季节.

关键词:
二氧化 (NO2) 是一种有毒的物质.自动机器学习自动机器学习组合模型组合模型组合模型远程传感是一种遥感技术.时间与空间的分布.

更多相关视频

Automation of the Micronucleus Assay Using Imaging Flow Cytometry and Artificial Intelligence
09:11

Automation of the Micronucleus Assay Using Imaging Flow Cytometry and Artificial Intelligence

Published on: January 27, 2023

2.0K
Author Spotlight: Advancing Alzheimer's Research – Exploring Early Detection and Multi-Omics Approaches
09:47

Author Spotlight: Advancing Alzheimer's Research – Exploring Early Detection and Multi-Omics Approaches

Published on: December 15, 2023

965

相关实验视频

Last Updated: Jun 9, 2025

Author Spotlight: Addressing Technical and Subjective Challenges in Measuring Classroom Attention
06:37

Author Spotlight: Addressing Technical and Subjective Challenges in Measuring Classroom Attention

Published on: December 15, 2023

2.6K
Automation of the Micronucleus Assay Using Imaging Flow Cytometry and Artificial Intelligence
09:11

Automation of the Micronucleus Assay Using Imaging Flow Cytometry and Artificial Intelligence

Published on: January 27, 2023

2.0K
Author Spotlight: Advancing Alzheimer's Research – Exploring Early Detection and Multi-Omics Approaches
09:47

Author Spotlight: Advancing Alzheimer's Research – Exploring Early Detection and Multi-Omics Approaches

Published on: December 15, 2023

965

科学领域:

  • 环境科学 环境科学
  • 大气化学 大气化学
  • 遥感 遥感 遥感 遥感

背景情况:

  • 二氧化 (NO2) 是一个关键的空气污染物,对环境和健康产生重大影响.
  • 了解NO2的空间分布对于有效的污染控制策略至关重要.

研究的目的:

  • 模拟和分析长江三角洲地区表面NO2度的空间和时间分布.
  • 评估一个集成多个机器学习算法用于NO2模拟的堆叠组合模型的性能.

主要方法:

  • 使用的NO2监测站数据和热带层监测仪器 (TROPOMI) 列数据.
  • 采用自动机器学习来选择和整合五个算法 (ET,RF,XGBoost,LightGBM,Catboost) 进入一个堆叠模型.
  • 将人口,海拔和气象因素纳入模拟模型.

主要成果:

  • 与单个算法相比,堆叠组合模型实现了更高的准确性 (RMAE=7.078,MAE=5.270).
  • 确定了高NO2度的U形空间分布,汇聚在三个省的交叉点附近,延伸到西南.
  • 在上海,杭州,南京和合肥周边的城市群体中观察到大量的城市NO2污染,其中27个城市超过了国家每日限量.

结论:

  • 堆叠模型提供了一种可靠的方法来模拟表面NO2度.
  • 长江三角洲的二氧化污染表现出明显的空间模式和季节性变化,冬季带来最大的风险.
  • 对于长州和上海等高污染的城市中心,需要有针对性的干预措施.